Triple
T38489224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HarbourFront |
E918006
|
entity |
| Predicate | hasCruiseFacility |
P190079
|
FINISHED |
| Object | international cruise terminal at Singapore Cruise Centre |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: international cruise terminal at Singapore Cruise Centre | Statement: [HarbourFront, hasCruiseFacility, international cruise terminal at Singapore Cruise Centre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCruiseFacility Context triple: [HarbourFront, hasCruiseFacility, international cruise terminal at Singapore Cruise Centre]
-
A.
hasCruiseFacilities
chosen
Indicates that a location or entity provides facilities or infrastructure to support cruise ships or cruise-related activities.
-
B.
cruiseCapability
Indicates the ability of an entity to travel or operate in a steady, sustained cruising mode under its own power.
-
C.
hasCruiseDeparturePoint
Indicates the location from which a cruise journey is scheduled to start or depart.
-
D.
servesCruisePort
Indicates that one entity (typically a transportation service or route) provides service to or operates at a particular cruise port.
-
E.
hasCruiseTraffic
Indicates that there is cruise ship traffic occurring at or involving a particular location or route.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e9894208190a129a553a60ca58c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd7fdafbe881908a31fcb407af2c34 |
completed | May 8, 2026, 6:16 a.m. |
| PD | Predicate disambiguation | batch_69fd7ef0ea908190b5d83f71565bdb1c |
completed | May 8, 2026, 6:13 a.m. |
Created at: May 3, 2026, 4:31 p.m.